Estimation of genetic parameters and trends in performance traits of Rambouillet sheep


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Authors

  • AAKRITI SUDAN Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, Jammu and Kashmir 181 102 India
  • R K TAGGAR Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, Jammu and Kashmir 181 102 India
  • D CHAKRABORTY Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, Jammu and Kashmir 181 102 India
  • SIMRAN SINGH Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, Jammu and Kashmir
  • MANDEEP SINGH AZAD Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, Jammu and Kashmir
  • DHIRENDRA KUMAR Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, Jammu and Kashmir
  • NISHANT KUMAR Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, Jammu and Kashmir

https://doi.org/10.56093/ijans.v92i9.123135

Keywords:

Heritability, India, Performance traits, Rambouillet sheep, Trends

Abstract

Genetic parameters and trends are very important to know about the genetic gain and effectiveness of the selection. The present study was conducted on 8,872 records of Rambouillet sheep maintained at Government Sheep Breeding and Research Farm, Reasi, Jammu, Jammu and Kashmir, India over a period of 20 years from 1996 to 2015. The performance traits studied in the present investigation were birth weight (BW), weaning weight (WW), nine-month body weight (9BW), twelve month body weight or yearling weight (YW) and annual wool production (AWP). Heritability, genetic correlations and genetic trends were estimated. Estimates of heritability ranged from medium (0.192 for AWP) to very high (0.720 for 9BW). The highest genetic and phenotypic correlations were obtained between 9BW and YW indicating that early selection on the basis of 9BW will improve the YW simultaneously. AWP had negative genetic correlations with all other traits except for WW. The genetic trends over the years were positive for BW and WW; and negative for 9BW, YW and AWP. The phenotypic trends for all the performance traits in the present study were negative. The effect of genetic trend was non-significant for all the traits. The R2 value was very low to medium. The phenotypic trends over the years were negative for all the traits except for YW. The genetic and phenotypic trends of the present study indicate that environment plays an important role in controlling different performance traits of Rambouillet sheep.

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References

Anamika, Chakraborty D, Singh S, Kumar D, Kumar N, Koul A L, Kour K and Taggar R K. 2020. Estimation of genetic parameters for growth traits in Rambouillet sheep. International Journal of Life Sciences and Applied Sciences 2(1): 23–27. DOI: https://doi.org/10.5455/ijlr.20200810043350

Arora A L, Gowane G R, Prince L L L and Prakash V. 2010. Genetic trends for performance of Malpura sheep. Indian Journal of Animal Sciences 80(9): 937–39.

Balasubramanyam D, Raja T V, Kumarasamy P and Sivaselvam S N. 2012. Estimation of genetic parameters and trends for body weight traits in Madras Red sheep. Indian Journal of Small Ruminants 18(2): 173–79.

Becker W A. 1975. Manual of Quantitative Genetics. 3rd Edition, Washington State University, Washington, USA.

Chakraborty D, Zaffer V, Anamika, Rameez M, Kumar D and Taggar R K. 2015. Genetic studies on growth traits and growth rates in Dorper crossbred sheep. Asian Resonance 4(2): 29–32. Chakraborty D, Zaffer V, Azhar P M and Anamika. 2016. Expected responses in growth measures to selection for body weights at various ages in Dorper crossbred sheep. Livestock Research International 4(3): 109–11.

Falconer D and Mackay T. 1996. Introduction to Quantitative Genetics. Longman Group Ltd. London.

Gupta P, Chakraborty D, Das A K, Kumar N and Khan N. 2015. Genetic studies on growth and wool production traits in crossbred sheep of India. Indian Journal of Animal Sciences 85(3): 258–61.

Habtegiorgis K, Haile A, Kirmani M A and Getachew T. 2020. Estimates of genetic parameters and genetic trends for growth traits of Doyogena sheep in Southern Ethiopia. Journal of Animal Breeding and Genomics 4(2): 33–49. DOI: https://doi.org/10.12972/jabng.20200004

Jawasreh K, Ismail Z B, Iya F, Castañeda-Bustos V J and Valencia- Posadas M. 2018. Genetic parameter estimation for pre-weaning growth traits in Jordan Awassi sheep. Veterinary World 11(2): 254–58. DOI: https://doi.org/10.14202/vetworld.2018.254-258

Latifi M and Mohammadi A. 2018. Analysis of genetic parameters and genetic trends for early growth traits in Iranian Afshari sheep. Biotechnology in Animal Husbandry 34(3): 289–301. DOI: https://doi.org/10.2298/BAH1803289L

Lobo A M B O, Lobo R B, Paiva S R, Oliveira S M P and Faco O. 2009. Genetic parameters for growth, reproductive and maternal traits in a multibreed meat sheep population. Genetics and Molecular Biology 32(4): 761–70. DOI: https://doi.org/10.1590/S1415-47572009005000080

Mallick P K, Thirumaran S M K, Pourouchottamane R, Rajapandi S, Venkataramanan R, Nagarajan G, Murali G and Rajendiran A S. 2016. Genetic trend for growth and wool performance in a closed flock of Bharat Merino sheep at sub temperate region of Kodai hills, Tamil Nadu. Veterinary World 9(3): 276–80. DOI: https://doi.org/10.14202/vetworld.2016.276-280

Mokhtari M S and Rashidi A. 2010. Genetic trends estimation for body weights of Kermani sheep at different ages using multivariate animal models. Small Ruminant Research 88: 23–26. DOI: https://doi.org/10.1016/j.smallrumres.2009.11.003

Panse V G and Sukhatme P V. 1961. Statistical Methods for Agricultural Workers. Published by ICAR, New Delhi.

Snedecor G W and Cochran W G. 1967. Statistical Methods. DOI: https://doi.org/10.1097/00010694-196809000-00018

Oxford & IBH Publications, New Delhi, India.

Wakil El, Salwa I and Gad S M A. 2014. Direct and maternal genetic parameters and genetic trends for some body weights and growth traits in Barki sheep. Egyptian Journal of Animal Production 51(3): 186–95. DOI: https://doi.org/10.21608/ejap.2014.93647

Yadav U, Malik Z, Dalal D, Dahiya S and Patil C. 2018. Estimation of breeding values and genetic trend of production traits in Munjal Sheep. International Journal of Livestock Research 8(8): 135–41. DOI: https://doi.org/10.5455/ijlr.20171222122124

Zaffer V, Taggar R, Chakraborty D, Singh S and Azhar P. 2018. Genetic studies on growth and production traits in Rambouillet sheep. International Journal of Livestock Research 8(12): 264–69. DOI: https://doi.org/10.5455/ijlr.20180212102918

Zaffer V, Taggar R K and Chakraborty D. 2015. Genetic studies on growth and production traits in Dorper × Rambouillet crossbred sheep. Animal Science Reporter 9(4): 131–37.

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Submitted

2022-04-07

Published

2022-09-09

How to Cite

SUDAN, A., TAGGAR, R. K., CHAKRABORTY, D., SINGH, S., AZAD, M. S., KUMAR, D., & KUMAR, N. (2022). Estimation of genetic parameters and trends in performance traits of Rambouillet sheep. The Indian Journal of Animal Sciences, 92(9), 1088–1091. https://doi.org/10.56093/ijans.v92i9.123135

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